Table 1 Steps in developing base case composite indicator with alternative methods
STEPS | ||
1. Theoretical Framework: Quality Matrix | ||
2. Metric Selection: Literature Review/Expert Opinion | ||
3. Missing data imputation: imputation by mode for binary variables or mean for continuous variables | ||
4. Initial Data Analysis: Review outliers/directionality | ||
Indicators within cells | Base Case | Alternative |
5a. Normalization: | Binary categorization of non-binary cell indicators | A. Rescaling of non-binary cell indicators (Min-max) |
5b. Weighting: | Equal weighting | |
5c. Aggregation: | Additive linear aggregation of indicator scores | B. Geometric aggregation of indicator scores |
Cells within matrix | Base Case | Alternative |
6a. Normalization: | Rescaling of cell scores (Min-max) | C. Standardization of cell scores (Z-scores) |
6b. Weighting: | Equal weighting | |
6c. Aggregation: | Additive linear aggregation of cell scores | D. Geometric aggregation of cell scores |
7. Uncertainty/Sensitivity Analysis: comparison base case against alternative methods | ||
8. Deconstruction: explore individual indicators contribution to composite score | ||